QUAL2Kw – A framework for modeling water quality in streams and rivers using a genetic algorithm for calibration

Autor:	Steven C. Chapra, Hua Tao, Gregory J. Pelletier
Rok vydání:	2006
Předmět:	Flexibility (engineering) Heat budget Environmental Engineering Computer science Calibration (statistics) Ecological Modeling STREAMS Function (mathematics) computer.software_genre Conventional pollutant Genetic algorithm Data mining Water quality computer Software
Zdroj:	Environmental Modelling & Software. 21:419-425
ISSN:	1364-8152
DOI:	10.1016/j.envsoft.2005.07.002
Popis:	QUAL2Kw is a framework for the simulation of water quality in streams and rivers. Dynamic diel heat budget and water quality kinetics are calculated for one-dimensional steady-flow systems. The framework includes a genetic algorithm to facilitate the calibration of the model in application to particular waterbodies. The genetic algorithm is used to find the combination of kinetic rate parameters and constants that results in a best fit for a model application compared with observed data. The user has the flexibility to select any combination of parameters for the optimization and specify any appropriate function for goodness-of-fit.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e8e6c6b43826ac28683405eb05a91b43 https://doi.org/10.1016/j.envsoft.2005.07.002 Zobrazit plný text záznamu Full Text from ScienceDirect